code: def read_from_file(filename, negative=3):
      if os.path.exists(filename) == False:
          return Sampler(set(), set(), defaultdict(set), negative)
      lines = open(filename).readlines()
      type_list = json.loads(lines[0])
      role_list = json.loads(lines[1])
      type_role_dict = json.loads(lines[2])
      return Sampler(type_list, role_list, type_role_dict, negative)
  
file_path: DeepKE/example/llm/InstructKGC/kg2instruction/convert/sampler.py
imports: import json
  import os
  from collections import defaultdict
  import random
label_desc: Use image node_id 4 for calling the Sampler obj's underlying member method code with example usage: obj.read_from_file(filename, negative) and returns: Sampler, Sampler